Tahoe Basin Black Bear Project: Home Range Analysis and Use of Urban Areas California Department of Fish and Wildlife Principle Investigator: Mario Klip.

Slides:



Advertisements
Similar presentations
Location Monitoring Program in the Federal Courts
Advertisements

Los Padres National Forest
MARK RECAPTURE Lab 10 Fall Why?  We have 4 goals as managers of wildlife  Increase a population  Decrease a population  Maintain a population.
Cat Map Tiger Facts Sounds Cat Pictures Web By: Steve Simon.
KEY KNOWLEDGEKEY SKILLS  Australian National Physical Activity Guidelines (NPAG) for all stages of the lifespan and the various associated dimensions.
American Marten Study ~ Iron County Zach Wilson, Hurley & Mercer High Schools, General Public, North Lakeland Discovery Center, WDNR, Iron County Forestry.
Studying Human Population. Demography Def: Study of human populations.
Learn More About One of Our Most Recognized Birds: the Red-winged Blackbird Flashes of Red.
Potential Interaction between predation risk, food limitation and disease Prey limitation Food Limitation predation Risk Disease.
Jobs and Unemployment. When you have completed your study of this chapter, you will be able to C H A P T E R C H E C K L I S T Define the unemployment.
Life Table Applications. Population Sampling Problems –Where is the population? Does it have borders? –How much do you sample for population estimate?
1 Movements, Home Range, and Survival Estimation of Largemouth Bass following Displacement Author - Mark S. Ridgway Name of Journal - American Fishery.
LIFE SKILLS: ASSESSMENT IN THE THREE STUDY AREAS PERSONAL AND SOCIAL WELL-BEING (PSW) PHYSICAL EDUCATION (PE) CREATIVE ARTS (CA)
Panda life Presented by Brandon Cameron Presented by Brandon Cameron.
Variation in Black Bear Home Ranges in Relation to Preferred Foods in Sequoia & Kings Canyon Nat’l Parks Rachel Mazur, Karen Folger, and Pete Klimley.
Urkeys in Wisconsin Turkeys in Wisconsin. Description Wisconsin’s largest game bird Ave. length Males are 48” & females 36” Weight males lbs..
Lecture 3: Measuring the Occurrence of Disease
Harvest Harvested v. unharvested populations –Why are some species not harvested? –Why are some species harvested at different rates? –Why does harvest.
Environmental Science Chapter 4: Population Ecology
The Learning Behaviors Scale
Core Concepts: CDC Ethics Hypothesis Human subjects Prevalence rate Person, place, and time Surveillance Survey questions Lessons: 1-1 Introduction to.
WILDLIFE MANAGEMENT IN NEW BRUNSWICK. WHY MANAGE WILDLIFE? Provincial MANDATE to manage populations of all wild species, their habitats and use, for the.
Home range Alonso Bussalleu. What is home range? How is it defined? Data collection and analysis: Models, methods and tools What can we learn from home.
What is population? Group of individuals of the same species that live in the same area.
Self-Esteem and Problem Drinking Among Male & Female College Students William R. Corbin, Lily D. McNair, James Carter University of Georgia Journal of.
Panna National Park, India
A Study of Painted Turtles (Chrysemys picta) in Lake Marburg at Codorus State Park Olivia Yaple, Department of Biology, York College Introduction Methods.
Local and Regional Procurement Learning Alliance 7. Market Data MARKET SELECTION.
Observations on the movements and home ranges of Hartmann’s Mountain Zebras and Oryx in the Greater Sossusvlei-Namib Landscape Based on a report by John.
 Nutrition assessment is a comprehensive evaluation carried out by a registered dietitian for defining nutrition status using -medical, social, nutritional,
Western Arctic Caribou Herd. Population Information.
Development of a GIS-based Method to Refine Annual Herd-specific Caribou Harvest Estimates from Barrow, Alaska, using Caribou Harvest and Satellite.
An integrated study of the Gladstone Marine System Richard Pillans August Long term movement of Green Turtles, Chelonia mydas, in Gladstone.
Recent Epidemiologic Situations of TB in Myanmar -Preliminary Review of Data from routine TB surveillance focusing on Case Finding- 9 May 2014, Nay Pyi.
Alcohol Consumption and Diabetes Preventive Practices: Preliminary Findings from the U.S.-Mexico Border Patrice A.C. Vaeth, Dr.P.H. Raul Caetano, M.D.,
Disturbance and Fish Daniel D. Magoulick USGS, Arkansas Cooperative Fish & Wildlife Research Unit, Department of Biological Sciences, University of Arkansas.
Changes to the Youth Re-offending Measure. YJB position statement The YJB supports the concept of the new measure and the advantages it presents for aligning.
Sub-regional Workshop on Census Data Evaluation, Phnom Penh, Cambodia, November 2011 Evaluation of Age and Sex Distribution United Nations Statistics.
COUGAR ECOLOGY AND BEHAVIOR IN AN INCREASINGLY URBAN WORLD Brian Kertson Wildlife Science Group WACFWRU/SFR University of Washington.
August 1999PM Data Analysis Workbook: Characterizing PM23 Spatial Patterns Urban spatial patterns: explore PM concentrations in urban settings. Urban/Rural.
Bobcat Trapping Warden Terry Mullen Fish and Game Commission Meeting April 9, 2015.
U.S. Department of the Interior - U.S. Geological SurveyUpper Midwest Environmental Sciences Center Abstract : Declining amphibian populations and the.
Identifying Species Targets at the Landscape/ Seascape Scale.
Population Numbers AG-WL-6. Population Dynamics  Short and long term changes in the size and age composition of populations, and the biological and environmental.
Who’s Minding the Kids in the Summer? Child Care Arrangements for Summer 2006 Lynda Laughlin - U.S. Census Bureau Joseph Rukus - Cornell University Annual.
Connecticut Department of Correction Division of Parole and Community Services Special Management Unit Parole Manager Frank Mirto October 14, 2015.
Vicky Copley, PHE Risk Factor Intelligence
Surveillance and Population-based Prevention Department for Prevention of Noncommunicable Diseases Displaying data and interpreting results.
14 OCTOBER 2005 POLYTECHNIC OF NAMIBIA GIS CONFERENCE CHEETAH CONSERVATION FUND GEOGRAPHIC INFORMATION SYSTEMS (GIS) USAGE Matti T. Nghikembua
Wildlife Movements & Space Use What are the different types of movements? What affects wildlife movements? How do wildlife movements relate to spatial.
CAPTURE – MARK – RECAPTURE METHOD
GREATER SAGE-GROUSE COMPREHENSIVE CONSERVATION Strategy Conservation in Sagebrush Ecosystems San Stiver Sage-Grouse Coordinator Western Association of.
ASSESSMENT OF THE ANNUAL VARIATION OF MALARIA AND THE CLIMATE EFFECT BASED ON KAHNOOJ DATA BETWEEN 1994 AND 2001 Conclusions 1. One month lag between predictors.
Black Bear in NJ.
Holt McDougal Algebra Measures of Central Tendency and Variation Work through the notes Then complete the class work next to this document on the.
The Polar Bear By: Charles Duffie. Common name: Polar Bear Scientific name: Ursus maritimus.
BUS 308 Entire Course (Ash Course) For more course tutorials visit BUS 308 Week 1 Assignment Problems 1.2, 1.17, 3.3 & 3.22 BUS 308.
Lesson – Teacher Notes Standard: 7.SP.B.3 Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities,
 Occupancy Model Extensions. Number of Patches or Sample Units Unknown, Single Season So far have assumed the number of sampling units in the population.
Does temporary captivity alter urban fox behaviour? Bryony Tolhurst¹*, Heather Hughes,¹ Dawn Scott¹ and Adam Grogan² ¹Ecosytem and Environmental Management.
Chapter5 Statistical and probabilistic concepts, Implementation to Insurance Subjects of the Unit 1.Counting 2.Probability concepts 3.Random Variables.
Research and Conservation on the Lower Brule Indian Reservation
The Impact of Management on the Movement and Home Range Size of Indiana’s Eastern Hellbender Salamanders Emily B. McCallen, Bart T. Kraus, Nicholas G.
Factsheet # 6 Spatiotemporal Analysis of Mountain Goat Habitat
INTRODUCTION METHODS RESULTS DISCUSSION
Determining Population Size
Introduction to Agriculture AAEC – Paradise Valley
Estimating Population Size
Unit 1, Part 1 Notes - Populations
Samples and Populations
Presentation transcript:

Tahoe Basin Black Bear Project: Home Range Analysis and Use of Urban Areas California Department of Fish and Wildlife Principle Investigator: Mario Klip Presenter: Canh Nguyen December 01, 2015

Study Design Capture Methods – Box trap/Leg hold snare – Drug Immobilization – Satellite/Radio collars – Aversive Condition

Box Trap Heavy-duty box trap mounted on a trailer Round port holes on all sides provide access by jab stick Easily move to the release area

Drug Immobilization Telazol per CDFW Wildlife Investigation Laboratory specifications Pencillin and Blu-kote® to preventive infection Permanently marked with an ear tag – Bears captured during the hunting season (August - December) were also outfitted with an ear tag containing a warning to contact CDFW prior to consuming the animal, due to potential drug residue Age classes as follows: – cubs are animals less than one year of age and accompanied by a sow; – sub-adults are animal over one year old, unaccompanied by a sow, and weigh between 40 and 100kg; – Adults are solitary bears weighing over 100kg. Data collected from each bear was recorded on individual data sheets. Bears recovered for a minimum of six hours in a quiet location prior to release.

Collars Communication via was received twice daily First six weeks of deployment; location every 20 minutes to monitor for mortality After six weeks, positions were gathered every two hours All collars were also equipped with VHF (Very High Frequency) transmitters to facilitate locating on the ground in real time Remote drop off mechanisms Cotton spacers degrade over time

Other Capture Method Considerations Sub-adults were not included in the study because the risk of collar embedment was considered too severe. Bears also participated in an Aversive Conditioning (portion of this study was not completed) – AC with dogs, dogs and firing less-lethal ammo and control

Criteria For Trapping Safety Ability to monitor trap Recent bear activity – Areas where recent (< 2 weeks) depredation bears were active were not utilized until the offending bear either had been removed humanely or until the damage stopped for at least two weeks, indicating that the offending bear had moved to a new area. Limited opportunity for trap tampering – Ability to obscure the trap from the road

BEARIDSEXTotal positionsonoffnumber of days 13205Female47495/15/201411/21/ Male45525/23/20144/1/ Female w Cubs42935/24/20144/2/ Female104711/7/20134/4/ Female33678/5/20133/6/ Female w Cubs787510/22/20133/5/ Male56711/15/20131/15/ Female w Cubs45419/28/20133/3/ Male50786/14/20143/5/ Female43726/14/201411/27/ Female22129/7/20143/24/ Female7069/7/20142/15/

Home Range Analysis Home Range Definition: – Area traversed by an individual in its normal activities of food gathering, mating and caring for its young Bear full home ranges were calculated based on Minimum Convex Polygon (MCP), Kernel Density Estimate (KDE) and Brownian Bridge Movement Model (BBMM) including variation as a result of method and sex Seasonal home range variation was compared based on sex, season and year Home range overlap with urban areas based on sex and season

Home Range Analysis-- continued Home range overlap was based on the urban definition as defined as “Combined” (Klip, unpublished data) – “Combined” is a combination of the urban definitions that include “Census”, “City Limits”, and “eVeg” data – “Wild” is the portion of the home range not overlapping with the urban area

Home Range Analysis-- continued MCP home ranges were calculated at 50%, 95%, 99% and a 100% KDE and BBMM calculations were at 50%, 95% and 99%.

Minimum Convex Polygon MCP calculates the area utilized Does not provide insights into which areas might be of disproportionate importance

Kernel Density Estimate KDE considers the intensity of use in different areas by an animal More than one center of activity and the method is not dependent on outlying points Likelihood where a bear can be found Utilization distribution that describes the relative amount of time that an animal spent in one place

Brownian Bridge Movement Model BBMM estimates the probability that the animal occurred in an area over the analysis period Locations are not independent and specifically incorporates time between locations in the model

Results: Full Home Range Sizes The average home range at 95% Males: 77.96km² (MCP); 77.37km² (KDE); 34.82km² (BBMM) Females: 17.57km² (MCP); 16.85km² (KDE); 10.17km² (BBMM) Females with cubs: 25.70km² (MCP); 22.36km² (KDE); 14.95km² (BBMM)

Seasonal Home Ranges

Discussion While home ranges differed, distinct patterns were not observed and varied across seasons Understanding overlap with the urban envelope is important because seasonal and inter-annual variation might provide insights into resource partitioning Male bears might actively exclude females and females with cubs from more profitable wild lands???

Discussion-- continued Currently the Department estimated a population of bears on the California side of Lake Tahoe Calculating home range density and their overlap might provide a quick approach to test this number Population estimate through a non-invasive mark recapture study

Discussion-- continued The home ranges comparable to home ranges reported elsewhere in California

Use of Urban Areas Urban Bear vs. Wild Bear? No previously published clear definition of what urban wildlife or an urban bear was Understanding “urban” was a requirement when trying to assess whether an animal deserved the label “urban” or “wild”

Urban “Urban” in the context of urban wildlife How much time did bears spend in urban areas How did land cover usage vary between urban/wild areas How did activity patterns differ between urban and wild areas? Urban in the context of this study will be used for all areas around developed areas

How Much Time Do Bears Spend in Urban Areas? If 50% or more of the locations were found within the urban area, then the bear was considered urban.

Definition Source City Limits Remote Sensing Data (eVeg) US Census (2010) Combination of the three (Combined)

Land Cover Use

Temporal Difference between Urban and Wild Patches Bears utilized the landscape differently over the course of a day – Daily activity patterns showed that bears were less active during day light hours in the urban areas – Before 06:00hrs and after 18:00hrs: bears were found more in wild areas – This pattern was similar for all sexes

Annual patterns in use of the urban or wild interface by sex

Discussion 7 of the 12 bears may be considered wild if a threshold of 50% of locations would be applied within the Combined definition No black and white delineation of what constituted urban or wild.

Acknowledgement CDFW Big Game Funds Mario Klip Numerous constituents in the Tahoe Basin